Lifeboat Foundation

Smart factories will be very useful in metaverse.workers can operated machines in factories using Internet.

As the idea of interconnected and intelligent manufacturing is gaining ground, competing in the world of Industry 4.0 can be challenging if you’re not on the very cusp of innovation.

Seeing the growing economic impact of IIoT around the globe, many professionals and investors have been asking themselves if the industry is on the verge of a technological revolution. But judging from the numbers and predictions, there is tangible and concrete evidence that the idea of smart manufacturing has already burst into corporate consciousness. According to IDC, global spending on the Internet of Things in 2020 is projected to top $840 billion if it maintains the 12.6% year-over-year compound annual growth rate. There is no doubt that a huge part of this expenditure will be devoted to the introduction of IoT into all types of industry, especially including manufacturing.

Continue reading “What is the smart factory? The impact of factory 4.0 on manufacturing” »

From the cosmic microwave background to Feynman diagrams — what are the underlying rules that work to create patterns of action, force and consequence that make up our universe?
Brian’s new book “Ten Patterns That Explain the Universe” is available now: https://geni.us/clegg.
Watch the Q&A: https://youtu.be/RZB95znAGRE

Brian Clegg will explore the phenomena that make up the very fabric of our world by examining ten essential sequenced systems. From diagrams that show the deep relationships between space and time to the quantum behaviours that rule the way that matter and light interact, Brian will show how these patterns provide a unique view of the physical world and its fundamental workings.

Continue reading “The Fundamental Patterns that Explain the Universe — with Brian Clegg” »

The deal will involve SpaceX installing ground stations inside google’s data centers to link with Starlink satellites. This synergy will provide ultra-fast internet services to enterprise clients. We could start seeing the outcome of the partnership as early as this year, especially since Musk has promised Starlink would exit beta mode despite the size of googling this deal is enormous because it is giving an edge in its competition the software behemoth Microsoft and online retail king Amazon in the cloud computing market.

Google needs to diversify as quickly as possible because its advert business is no longer growing at the usual rate. The cloud is a way for Google to shore up its revenue to sustain its growth, so landing a client like SpaceX is a big deal for Google because its cloud computing service will be delivered to clients at high speed the first at Google data center to host a starling the base station is in New Albany Ohio followed by other data centers in the US. Still, ultimately most of google’s data centers worldwide would be connected.

Google and SpaceX had a bit of history back in 2015; the search giant invested 900 million dollars into SpaceX, which was meant to cover various technologies, including making the satellites themselves. Hence, it is natural that the two companies would do business together. The deal benefits all the parties involved, and Google brings its cloud services to more customers through a secure and fast internet network.

First, AI can be taught to forget. This means that not only can AI identify who knows what about a topic, but it can also contextualize that information and recognize when information becomes outdated and redundant, meaning it can ‘forget’ unuseful data as needed. Second, using non-sensitive information drawn from existing tools, AI is able to see through silos. It can use all kinds of information to draw conclusions at scale, creating in one integrated platform a live map or ‘knowledge network’ of who knows what within an organization.

In short, using data, AI can build a network of knowledge and expertise in real time. When searching for answers, everyone can then access the most accurate, up-to-date information or the best expert, at that specific point in time, to help instantly.

Before the zettabytes of data grow to yottabytes, it’s time to embrace AI’s role in tackling data overload. With AI, we can start leveraging data in the way businesses and employees demand: to empower connection, problem-solving, collaboration, and finding the answers we need.

This article features about how quantum computing in 2022. Check this article out to learn more about quantum computing in 2022.

Quantum computing has progressed from an experiment to a tool to an apparatus that is now making advances in the venture to tackle complex issues. Experts accept that the world has gone into the ‘Quantum Decade’ — an era when ventures start to see quantum computing’s business esteem. The advances in equipment, software development, and administrations approve the technology’s momentum, which is making it ready for additional breakthroughs in 2022 and helps the market for the inevitable reception of this revolutionary technology.

What is quantum computing’s fate in 2022? Or is it capable enough to turn our fate all around? We at Analytics Insight brought a quick synopsis of quantum computing’s predictions and performance in 2022. Scroll down to know more.

Continue reading “Quantum Computing in 2022: A Leap into the Tremendous Future Ahead” »

Artificial intelligence is unlike previous technology innovations in one crucial way: it’s not simply another platform to be deployed, but a fundamental shift in the way data is used. As such, it requires a substantial rethinking as to the way the enterprise collects, processes, and ultimately deploys data to achieve business and operational objectives.

So while it may be tempting to push AI into legacy environments as quickly as possible, a wiser course of action would be to adopt a more careful, thoughtful approach. One thing to keep in mind is that AI is only as good as the data it can access, so shoring up both infrastructure and data management and preparation processes will play a substantial role in the success or failure of future AI-driven initiatives.

According to Open Data Science, the need to foster vast amounts of high-quality data is paramount for AI to deliver successful outcomes. In order to deliver valuable insights and enable intelligent algorithms to continuously learn, AI must connect with the right data from the start. Not only should organizations develop sources of high-quality data before investing in AI, but they should also reorient their entire cultures so that everyone from data scientists to line-of-business knowledge workers understand the data needs of AI and how results can be influenced by the type and quality of data being fed into the system.

A Shanghai city department’s five-year development plan includes encouraging metaverse use in public services, business offices and social entertainment.

Unpredictable spikes and drops in demand combined with chronic supply chain and labor shortages are accelerating the pace of digital transformation in manufacturing, starting with worker safety. Forty-eight percent of manufacturers say their progress on digital transformation initiatives has accelerated so much that it’s years ahead of what was originally anticipated, according to a KPMG study. Keeping workers safe and connected is the primary goal of most digital transformation and hiring plans, with on-site distancing & workplace safety listed as the two highest priorities.

Everguard.ai, a startup based in Irvine, California, combines AI, computer vision, and sensor fusion to reduce the risk of injuries and accidents by preventing them before they happen. The company’s SENTRI360 platform proves effective in preventing workplace injuries and operational downtimes at several steel-heavy manufacturing companies, including Zekelman Industries and SeAH Besteel.

From redesigning shop floors, to meeting social distancing guidelines, and doubling their investment in training and development, worker safety now dominates manufacturing — even more so due to the pandemic. Frontline workers saved many manufacturing companies from going out of business by applying their expertise and insights in real-time, enabling entire plants to pivot and produce new products at record speed. Continued trade tensions, tariffs, and supplier shortages put more pressure on manufacturers to reshore production and have worker safety programs in place now. As manufacturing returns to the U.S., AI and computer vision are stepping up to improve worker safety.

Trivergence is starting to affect every industry. In financial services, the wallet has become a smart app that can collect data and learn. On a blockchain, users can exchange, save, borrow, invest and protect this digital money peer-to-peer without the intermediation of banks. In manufacturing, 3D printers are manufacturing aircraft parts in a Boeing facility with a blockchain network facilitating all the patented files, contracting and payments peer-to-peer. Telecommunications companies are no longer negotiating complex, costly and ever-changing roaming agreements, but using blockchain-based smart contracts among providers to automate the web of payments and settlement globally.

Over time, the Trivergence will usher in a next-generation internet where nearly every animate and inanimate object on Earth generates data, a distributed ledger records and secures this data and AI analyzes the data, communicates with the objects, alerts their owners and continuously adjusts and improves the efficiency of the economy and the sustainability of its effects on the environment.

New business models enabled by this Trivergence are beginning to disrupt many industries and provide platforms for innovation in the economy for decades ahead. This second era has weighty implications for every business, government and individual, as well as technology strategy, architecture and leadership. If we can overcome the dark side — and that’s a big “if” — this Trivergence helps us reclaim our digital identities, effectively fight climate change and help solve some of the world’s most intractable problems.